Main
Sabbir Ahmed Hemo
Statistician with a demonstrated history of working in the research as well as data science for both industry and non-profit organizations. Skilled in R, Python, Shiny, Big Data and Machine Learning.
Education
MS, Applied Statistics
University of Dhaka
Dhaka, BD
2020 - 2019
- CGPA: 3.81 out of 4.00
BS, Applied Statistics
University of Dhaka
Dhaka, BD
2018 - 2015
- CGPA: 3.64 out of 4.00
Job Experience
R/Shiny Developer
Appsilon
Remote
2022
- Responsible for building enterprise quality Shiny Application for Fortune 500 companies.
- Currently working on supply chain analytics for one of the top pharma companies.
- Tech stack: R/Shiny, CSS, JS, Azure Data Bricks, Fluent UI, Github, etc.
Assistant Manager, Credit Analytics
IDLC Finance Ltd
Dhaka, BD
2022 - 2021
- My role includes developing machine learning models for loan underwriting automation and decision-making.
- Credit Analytics based on real time data. Generating insight answering business problem.
- MIS automation with code based apps.
Research Associate
DataSense, iSocial
Dhaka, BD
2021 - 2020
- Worked on data pipeline to streamline data from BoP to consumers using the Shujog Platform
- Made data available as insights for users as dashboards (Shiny) and automated report (Rmarkdown)
- Deployed different ML model and classification algorithm on production using REST Services
Consultant Statistician (Part time)
Grasp Industries Bangladesh
Dhaka, BD
2020 - 2018
- Deployed CAPI forms to collect data and build dashboard to monitor survey process
- Created automatic report generation tools using real time data with Rmarkdown
Publications
Performance of Inverse Probability Weighting Compared to Multiple Imputation for Missing Binary Outcomes in Cluster Randomized Trials
On preparation to submit
N/A
2020
Awards and Scholarships
Student Conference Award
41st Annual Conference of the International Society for Clinical Biostatistics (ISCB)
Krakow, Poland
2020
- Awarded Student Conference Award for the paper on Performance of Inverse Probability Weighting Compared to Multiple Imputation for Missing Binary Outcomes in Cluster Randomized Trials
NST Fellowship
Ministry of Science and Technology, GoB
Dhaka, BD
2020
- Received grants as NST Fellowship for thesis paper on Performance of Inverse Probability Weighting Compared to Multiple Imputation for Missing Binary Outcomes in Cluster Randomized Trials
Best Poster Presentation Award
2nd International Conference on Applied Statistics 2019
Dhaka, BD
2019
- Awarded for the paper on Predicting Malnutrition Status of Under-Five Children Using Tree Based Models
ISRT Scholarship
University of Dhaka
Dhaka, BD
2017
- Awarded for good academic performance
Volunteer Experience
Advisory Member
United Nations Youth Advisory Panel in Bangladesh
Dhaka, BD
2019 - 2014
- Worked as a technical advisor for UN agencies in Bangladesh
- Did different kind of surveys and FGDs
- Helped to organize different training session and workshop
Central Youth Volunteer
Save the Children in Bangladesh
Dhaka, BD
2015
- Support NCTF program with technical assistance
- Did interviews and FGDs for the baseline survey of WASH project
- Organized different training session and workshop
References
- Dr. Anower Hossain
- Associate Professor,
- Institute of Statistical Research & Training,
- University of Dhaka.
- anower@isrt.ac.bd
- Last updated on November 27, 2022.
Membership
Member
International Society for Clinical Biostatistics (ISCB)
N/A
2020